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-  2018 

基于分数阶黏弹性模型的温拌改性沥青低温性能
Low-temperature properties of warm-mixed modified asphalt based on fractional viscoelastic model

DOI: 10.13801/j.cnki.fhclxb.20171108.002

Keywords: 道路工程,温拌SBS改性沥青,分数阶黏弹性模型,低温性能,弯曲梁流变试验(BBR)
road engineering
,warm-mixed SBS modified asphalt,fractional viscoelasticity model,low-temperature properties,bending beam rheometer test (BBR)

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Abstract:

基于分数阶黏弹性模型,通过低温弯曲梁流变试验(BBR)分析RH和Evotherm温拌剂对苯乙烯-丁二烯-苯乙烯嵌段共聚物(SBS)改性沥青低温性能的影响。结果表明:利用BBR试验数据拟合出的分数阶黏弹性模型参数可较好地预估温拌改性沥青的蠕变柔量和蠕变速率; RH温拌剂可以提高SBS改性沥青的阻尼比和耗散能比,但Evotherm温拌剂在低于-18℃时不能够提高;因7种沥青按照阻尼比和耗散能比排序相同,故也可以将阻尼比作为温拌改性沥青低温性能的一种评价指标; RH可以改善沥青的蠕变柔量,提高黏性流动柔量,且掺量越高改善效果越好,但不能提高黏弹性比,故不能用黏弹性比评价温拌SBS改性沥青的低温性能,而Evotherm温拌剂的规律性不强;两种温拌剂都在低于-24℃时对SBS改性沥青的低温性能改善不佳。 Based on the fractional viscoelastic model, the effects of RH or Evotherm warm-mixed agent on the low-temperature properties of styrene-butaniene-styrene block copolymer(SBS) modified asphalt were analyzed by low temperature bending beam rheometer test (BBR).The results show that the parameters of fractional viscoelastic model fitted with BBR test data can be used to predict the creep compliance and creep rate of the modified asphalt; RH warm-mixed agent can improve the damping ratio and the dissipation energy ratio of the SBS modified asphalt, while Evotherm warm-mixed agent can not improve them at below -18℃; Because the seven kinds of asphalt are the same order in accordance with the damping ratio and dissipation energy, the damping ratio can be used as an evaluation index of low-temperature properties of warm-mixed modified asphalt; RH can improve the creep compliance of asphalt and viscous flow compliance, the greater the dosage, the better the improvement, but it can't improve the viscoelastic ratio, so the viscous ratio can't be used to evaluate the low-temperature properties of warm-mixed modified asphalt and the regularity of Evotherm warm-mixed agent is not strong; the low-temperature properties of SBS modified asphalt are poorly improved at below -24℃ using the two kinds of warm-mixed agents. 国家自然科学基金(51265033);内蒙古校企合作项目(432093;2017020001)

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